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Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through Time
Reservoir computing (RC) is a machine learning algorithm that can learn complex time series from data very rapidly based on the use of high-dimensional dynamical systems, such as random networks of neurons, called "reservoirs."
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